Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   23  0.6710  0.0112  0.156  0.6954  0.0616  0.20
Ax 1995   32  0.6434  0.0020  0.1123  0.3347  0.0723  0.15
Bacha 1998   43  0.6161  0.0050  0.0559  0.0563  0.0464  0.04
Barbosa 1983   47  0.608  0.0214  0.1716  0.4827  0.337  0.40
BenOr 1989   41  0.6215  0.0124  0.0928  0.2353  0.0627  0.12
Biret 1990   29  0.6536  0.0033  0.0633  0.1261  0.0438  0.07
Brailowsky 1960   48  0.5938  0.0051  0.0735  0.0757  0.0539  0.06
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Clidat 1994   30  0.6549  0.0025  0.1025  0.3039  0.0725  0.14
Cohen 1997   62  0.5150  0.0062  0.0560  0.0552  0.0560  0.05
Cortot 1951   64  0.4367  0.0064  0.0550  0.0540  0.0562  0.05
Csalog 1996   25  0.6653  0.0031  0.0630  0.1545  0.0633  0.09
Czerny 1989   33  0.6419  0.0030  0.0829  0.2050  0.0531  0.10
Ezaki 2006   26  0.6632  0.0040  0.0553  0.0559  0.0548  0.05
Falvay 1989   14  0.6833  0.0022  0.1220  0.4264  0.0426  0.13
Fiorentino 1962   24  0.6745  0.0032  0.0631  0.1456  0.0636  0.09
Fliere 1977   16  0.6817  0.0029  0.0927  0.2660  0.0430  0.10
Fou 1978   8  0.705  0.083  0.248  0.6428  0.285  0.42
Francois 1956   38  0.6214  0.0135  0.0638  0.0625  0.2229  0.11
Goldenweiser 1946   63  0.4643  0.0063  0.0647  0.0664  0.0452  0.05
Gornostaeva 1994   45  0.6020  0.0038  0.0645  0.0630  0.1832  0.10
Groot 1988   17  0.6823  0.0019  0.1422  0.3947  0.0624  0.15
Hatto 1993   9  0.7042  0.0010  0.1312  0.5341  0.0814  0.21
Hatto 1997   12  0.6951  0.0015  0.1213  0.5248  0.0717  0.19
Horszowski 1983   53  0.5652  0.0059  0.0551  0.0542  0.0650  0.05
Indjic 2001   10  0.7031  0.0016  0.1714  0.5040  0.0815  0.20
Katin 1996   11  0.6941  0.0013  0.1215  0.5035  0.1011  0.22
Kiepura 1999   61  0.5324  0.0058  0.0555  0.0552  0.0549  0.05
Korecka 1992   60  0.5348  0.0061  0.0463  0.0465  0.0366  0.03
Kushner 1990   59  0.5463  0.0037  0.0644  0.0652  0.0457  0.05
Lilamand 2001   55  0.5622  0.0043  0.0548  0.0527  0.2628  0.11
Luisada 1990   52  0.5759  0.0053  0.0736  0.0747  0.0643  0.06
Luisada 2008   39  0.6225  0.0041  0.0640  0.0644  0.0642  0.06
Lushtak 2004   34  0.6444  0.0036  0.0639  0.0652  0.0644  0.06
Malcuzynski 1951   56  0.5630  0.0028  0.0832  0.1453  0.0537  0.08
Malcuzynski 1961   28  0.652  0.1017  0.1617  0.4851  0.0620  0.17
Magaloff 1977   13  0.6911  0.019  0.1610  0.587  0.571  0.57
Magin 1975   42  0.6147  0.0049  0.0557  0.0560  0.0555  0.05
Meguri 1997   21  0.6737  0.0027  0.0926  0.2817  0.318  0.29
Milkina 1970   7  0.709  0.028  0.127  0.6443  0.0712  0.21
Mohovich 1999   31  0.6428  0.0034  0.0734  0.0756  0.0545  0.06
Nezu 2005   15  0.6821  0.0021  0.1118  0.4339  0.0818  0.19
Ohlsson 1999   3  0.733  0.094  0.259  0.6023  0.363  0.46
Olejniczak 1990   37  0.6356  0.0039  0.0641  0.0648  0.0647  0.06
Osinska 1989   40  0.6246  0.0044  0.0642  0.0662  0.0453  0.05
Perlemuter 1992   58  0.5527  0.0060  0.0464  0.0463  0.0463  0.04
Poblocka 1999   19  0.6839  0.0023  0.1319  0.4251  0.0621  0.16
Rangell 2001   44  0.6140  0.0048  0.0558  0.0549  0.0661  0.05
Richter 1960   57  0.5562  0.0057  0.0461  0.0444  0.0658  0.05
Richter 1961   50  0.5960  0.0054  0.0549  0.0548  0.0554  0.05
Rosen 1989   36  0.6316  0.0147  0.0643  0.0659  0.0459  0.05
Rubinstein 1939   22  0.676  0.0311  0.1311  0.5443  0.0619  0.18
Rubinstein 1952   6  0.704  0.092  0.192  0.7722  0.402  0.55
Rubinstein 1966   5  0.7226  0.006  0.165  0.7034  0.099  0.25
Rudanovskaya 2007   20  0.677  0.0226  0.0924  0.327  0.526  0.41
Shebanova 2002   4  0.7212  0.015  0.123  0.7224  0.284  0.45
Smith 1975   35  0.6454  0.0046  0.0646  0.0652  0.0640  0.06
Sztompka 1959   46  0.6035  0.0055  0.0637  0.0662  0.0456  0.05
Tanyel 1992   54  0.5655  0.0056  0.0462  0.0461  0.0465  0.04
Tsujii 2005   2  0.7313  0.017  0.154  0.7038  0.0810  0.24
Uninsky 1959   18  0.6866  0.0018  0.1321  0.4246  0.0622  0.16
Vardi 1988   51  0.5864  0.0052  0.0556  0.0537  0.0741  0.06
Wasowski 1980   49  0.5929  0.0042  0.0552  0.0553  0.0651  0.05
Zimerman 1975   27  0.6518  0.0045  0.0554  0.0540  0.0746  0.06
Average   1  0.781  0.451  0.441  0.8660  0.0513  0.21
Random 1   66  0.0058  0.0066  0.0266  0.029  0.3835  0.09
Random 2   65  0.0157  0.0065  0.0265  0.027  0.4434  0.09
Random 3   67  -0.0265  0.0067  0.0167  0.0154  0.0367  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).